code: def augment(self, dataset):
      actual_feat_dims = self._augment_feature(
          dataset,
          cfg.dataset.augment_feature,
          cfg.dataset.augment_feature_dims,
      )
      if cfg.dataset.augment_label:
          # Currently only support 1 label
          actual_label_dim = self._augment_feature(
              dataset,
              [cfg.dataset.augment_label],
              [cfg.dataset.augment_label_dims],
              as_label=True,
          )[0]
      else:
          actual_label_dim = None
      return actual_feat_dims, actual_label_dim
  
imports: import logging
  import networkx
  import numpy
  import torch
  import torch.nn
  from deepsnap.graph import Graph
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.contrib.transform.identity import compute_identity
label_desc: Use image node_id 10 for calling the FeatureAugment obj's underlying member method code with example usage: obj.augment(dataset) and returns: actual_feat_dims,  actual_label_dim